Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

About the Role

As a Data Scientist at Avathon, you will contribute to designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to help develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With 3-5 years of industry experience (or a Master's degree with 3+ years), you are expected to bring a solid foundation in statistical modeling, ML engineering, and modern AI architectures. This role offers the opportunity to work on impactful AI initiatives while learning and growing within a fast-paced startup environment.

You Will

• Support the design, development, and deployment of machine learning and Generative AI solutions to solve complex business problems
• Assist in building, fine-tuning, and optimizing Large Language Models (LLMs) and transformer-based architectures for real-world applications
• Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization
• Contribute to developing scalable ML pipelines in collaboration with Engineering teams
• Support prompt engineering, model evaluation, benchmarking, and testing for GenAI applications
• Work closely with Product, Engineering, and Business stakeholders to translate requirements into data-driven AI solutions
• Contribute to model governance, responsible AI practices, and production monitoring efforts
• Stay current with advancements in Generative AI, LLM research, and applied machine learning

You'll Have

• Master's degree (or Bachelor's with strong experience) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 3-5 years of hands-on industry experience (or Master's degree with 3+ years) in data science, machine learning, or applied AI roles
• Foundational experience with Generative AI frameworks and Large Language Models (e.g., exposure to transformer architectures, fine-tuning, or RAG concepts)
• Proficiency in Python and familiarity with ML/AI libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face
• Solid understanding of statistical modeling and model evaluation techniques
• Exposure to deploying ML models or working in collaborative production environments
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong analytical thinking and willingness to work on evolving, sometimes ambiguous problem statements
• Good communication skills and ability to collaborate across teams

Preferred Qualifications

• Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems
• Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
• Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection
• Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns
• Basic understanding of MLOps practices and model lifecycle management
• Experience working on applied AI projects in academic, internship, or startup settings
• Interest in industrial AI and asset-intensive environments
• Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.